Fold 0
Model 0 best validation auc = 0.712207 on epoch 6
Model 0 test auc = 0.760987
Ensemble test auc = 0.760987
Fold 1
Model 0 best validation auc = 0.728169 on epoch 2
Model 0 test auc = 0.762793
Ensemble test auc = 0.762793
Fold 2
Model 0 best validation auc = 0.702817 on epoch 3
Model 0 test auc = 0.733293
Ensemble test auc = 0.733293
Fold 3
Model 0 best validation auc = 0.675117 on epoch 3
Model 0 test auc = 0.795906
Ensemble test auc = 0.795906
Fold 4
Model 0 best validation auc = 0.695775 on epoch 6
Model 0 test auc = 0.780253
Ensemble test auc = 0.780253
Fold 5
Model 0 best validation auc = 0.707042 on epoch 2
Model 0 test auc = 0.777845
Ensemble test auc = 0.777845
Fold 6
Model 0 best validation auc = 0.698122 on epoch 2
Model 0 test auc = 0.772426
Ensemble test auc = 0.772426
Fold 7
Model 0 best validation auc = 0.671831 on epoch 0
Model 0 test auc = 0.851896
Ensemble test auc = 0.851896
Fold 8
Model 0 best validation auc = 0.708920 on epoch 7
Model 0 test auc = 0.704997
Ensemble test auc = 0.704997
Fold 9
Model 0 best validation auc = 0.700939 on epoch 3
Model 0 test auc = 0.758579
Ensemble test auc = 0.758579
10-fold cross validation
	Seed 0 ==> test auc = 0.760987
	Seed 1 ==> test auc = 0.762793
	Seed 2 ==> test auc = 0.733293
	Seed 3 ==> test auc = 0.795906
	Seed 4 ==> test auc = 0.780253
	Seed 5 ==> test auc = 0.777845
	Seed 6 ==> test auc = 0.772426
	Seed 7 ==> test auc = 0.851896
	Seed 8 ==> test auc = 0.704997
	Seed 9 ==> test auc = 0.758579
Overall test auc = 0.769898 +/- 0.036588
Elapsed time = 0:03:33
